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In recent years many researchers have been smitten by the benefits of cloud computing. In spite of countless advantages of cloud technologies, researchers have also been worried about its security and privacy concerns. Notably, it's about the storage and security of the confidential documents as well as maintaining privacy in datasets while preparing adequate retrieval and also other searching techniques have been recognized as one of the major issues in this particular area. To tackle the issues many researchers have proposed techniques and strategies which mostly deal with the conjunctive keyword search rather than a phrase search scheme. This leads to difficulty in identifying the phrases and some of the existing phrase search algorithms demand more storage cost than other conjunctive keyword techniques. The protocol provides a solution by introducing a novel approach in the field of encrypted searching that allows the rapid phrase exploring system to work easier. The proposed work makes use of the incredible Bloom filter technology using n-grams. The technique emphasis on the response time by yielding the requested document and defending against inclusion-relation attack.
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Dr. Krishna Keerthi Chennam, has more than 15+ years experience in teaching and research. She obtained B.Tech and M.Tech from JNTUH and Ph.D from Gitam (Deemed to be University), Hyderabad. She completed AWS Certified Solution Architect- Associate Certification from Amazon, Power-Bi from Microsoft and approved google cloud facilitator.
